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We are back for another meetup as a warm up before DATA_FAIR on 11.2.2027!

Whether you're deep into your data science journey or just starting to explore the space, this is your chance to learn, connect, and be inspired by impactful research and real-world applications. No RSVP needed; but if you can, please sign up so we can make sure there’s enough space for everyone.

From Prompt to Production: Agentic LLM-Driven Algorithm Design as the Next Step in Data Engineering

We're thrilled to host👩‍💻 Niki van Stein, PhD. She is a researcher in the Natural Computing Group of The Leiden Institute of Advanced Computer Science (LIACS) and manager of the applied data science lab. Her research interest are in automated machine learning, global (Bayesian) optimization and neural architecture search. Next to her research, Niki has founded several software solution-oriented companies such as Van Stein & Groentjes – Custom software development, and Smartnotation – the smart meeting minutes application. Her webpage: XAI group - Dr. Niki van Stein

What will Niki focus on?
AutoML has made model selection and hyperparameter tuning largely automatic, but designing the algorithm itself (the optimizer, heuristic, preprocessing pipeline or solver logic) has remained a highly manual, expert-driven task. In this talk, I'll show how large language models in combination with evolutionary computation can take over that job: generating, mutating, and evolving working algorithm code to solve concrete optimization and machine learning problems, from scheduling to classification pipelines to shape engineering.

And what makes this meetup extra special and worth attending?
It is a space to learn from women leading the way in AI, ask questions, and find new inspiration. If you are familiar with the DATA_FAIR conference then you know - good vibes, great company and new friends.

This time our hosts will be the wonderful people of Celtra | Home

Related topics

Events in Ljubljana, SI
AI Algorithms
AI/ML
Automated Machine Learning
Machine Learning
Software Engineering

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